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MATH 251

Classification

Description
Dimensionality reduction, instance-based classification, discriminant analysis, logistic regression, support vector machine, kernel methods, ensemble learning, neural networks and deep learning, classification of nonnumeric data. Prerequisite: Math 32 and Math 129A (each with a grade of B or better) Co/Pre-requisite: Math 164, Math 267A or CS 122 or instructor consent.

Grading
Normal Grade Rules

Units
3